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| Adaptacyjny schemat badania klinicznego× | Analiza mocy× | |
|---|---|---|
| Dziedzina≠ | Planowanie eksperymentów | Statystyka |
| Rodzina | Hypothesis test | Hypothesis test |
| Rok powstania≠ | 1994 | 1969 (1st ed.); 1988 (seminal 2nd ed.) |
| Twórca≠ | Bauer & Köhne | Jacob Cohen |
| Typ≠ | Adaptive hypothesis test with interim analyses | Sample size and power planning |
| Źródło pierwotne≠ | Bauer, P. & Köhne, K. (1994). Evaluation of Experiments with Adaptive Interim Analyses. Biometrics, 50(4), 1029–1041. DOI ↗ | Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805802832 |
| Inne nazwy≠ | adaptive design, group sequential design, sample size re-estimation, platform trial | sample size calculation, power calculation, sensitivity analysis, a priori power analysis |
| Pokrewne≠ | 3 | 5 |
| Podsumowanie≠ | Adaptive clinical trial design is a flexible experimental framework, formalised by Bauer and Köhne in 1994, in which pre-specified rules allow the trial to be modified mid-course — adjusting sample size, treatment arms, or randomisation ratios — based on accumulating interim data while rigorously controlling the Type I error rate. | Power analysis is a planning and evaluation technique that quantifies the probability of detecting a real effect of a given magnitude at a chosen significance level. It links four quantities — sample size, effect size, significance level (alpha), and statistical power (1 minus beta) — so that researchers can determine the sample size needed before data collection or evaluate the sensitivity of a completed study. |
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